Jiaqi Chen

Artificial Intelligence · 1 papers · 2021

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Computer Vision and Pattern Recognition — 35 citations into it

Whom Jiaqi Chen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Shaoqing Ren
5. Alex Krizhevsky
6. Sepp Hochreiter
7. Yoshua Bengio
8. Diederik P. Kingma
9. Tsung-Yi Lin
10. Yann LeCun

Papers from Jiaqi Chen's perspective

Ordered by how strongly the researchers Jiaqi Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning (2021) — 307 citations